Detection method and detection system for tomato plant diseases and insect pests

The invention discloses a tomato plant disease and insect pest detection method and system, and the method comprises the following steps: reducing the number of channels in a YOLOv7 model, replacing a Conv module in a YOLOv7 backbone network with an XSepConv module, and obtaining a YOLOv7-XSepConv model as a target detection model; preprocessing a to-be-detected picture, and inputting the preprocessed to-be-detected picture into the trained target detection model to obtain a detection result; the target detection model is used in the WeChat applet, and rapid identification and classification of tomato plant diseases and insect pests can be realized through front-end and back-end services of the WeChat applet. According to the detection method, rapid and real-time target detection can be realized under limited computing resources, and the method can adapt to deployment and application in an applet; the use method of the detection system is simple, and a user can check a detection result through a front-end int